 | Lecture on Biomedical semantics, information retrieval and knowledge discovery |
Motivation
- This lecture on “Biomedical semantics, information retrieval and knowledge discovery” aims at introducing studies with no previous knowledge on the topics to the world of the Semantic Web and Linked Data with a special focus on Biomedical knowledge and resources.
- You will learn how to use data in a way that it is human and machine readable and processable.
- Semantics is used to add labels and meaning to data and to offer opportunities to gather and analyse data around labels, meaning and human understandable topics.
- The introduction of semantics requires special formats and standards to make the data useful for the general public to provide interoperability.
Who can use this material?
- Trainee: Anyone interested in learning some about the topics covered in the lecture.
- Trainer: Anyone interested in reusing this material to teach any topic covereed in the lecture.
License: This material is distributed under CC BY-NC
If you reuse these materials or want to reference them, please use the following citation (also provided via a CITATION file):
Rebholz-Schuhmann, D., & Castro, L. J. (2022, February 22). Lecture on Biomedical semantics, information retrieval and knowledge discovery. Zenodo. https://doi.org/10.5281/zenodo.17093939